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Chinese Livestock and Poultry Breeding ›› 2026, Vol. 22 ›› Issue (7): 7-16.doi: 10.19543/j.cnki.1673-4556.20260522.002cstr: 32418.14.j.cnki.1673-4556.20260522.002

• Advanced Technology •     Next Articles

Research progress and prospects of intelligent measurement technologies for important phenotypes in livestock and poultry

Wanli Cheng1, Mingyu Yang1, Lei Xi2, Zhuanjian Li1, Yujie Guo1   

  1. 1. College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450000, Henan
    2. Henan University of Animal Husbandry and Economy, Zhengzhou, 450046, Henan
  • Received:2025-12-26 Online:2026-07-26 Published:2026-07-18

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Abstract:

With the rapid development of modern seed industry and intelligent livestock farming, the phenotyping of important traits in livestock and poultry is transitioning from traditional manual measurement towards automated, intelligent, and high-throughput approaches. This review focuses on livestock such as pigs and poultry, systematically summarizing research progress in intelligent phenotyping technologies for key traits including growth, body measurements, physiological parameters, and behavior. It discusses the principles and application status of core technologies such as computer vision, laser radar, wearable and implantable sensors, analyzes AI-based data processing methods and their value in genetic evaluation, compares the development levels of intelligent phenotyping technology for livestock and poultry domestically and internationally, examines challenges in technology application, and prospects future directions such as multi-omics integration and intelligent breeding, this initiative systematically integrates multidisciplinary technological achievements, clarifies technical application pain points and breakthrough pathways, with a focus on core technological advantages like non-contact measurement and dynamic physiological monitoring, while balancing theoretical depth and industrial applicability. It aims to accelerate the transformation of China's livestock industry toward efficiency, green practices, and intelligence, ensuring the supply security of livestock and poultry products, and strengthening the technical foundation for enhancing the core competitiveness of the seed industry.

Key words: Phenotypic, Intelligent measurement, Computer vision, Sensors, Artificial intelligence, Livestock and poultry breeding

CLC Number: 

  • S81

Fig. 1

Schematic diagram of the CIEN-LWEN framework"

Fig. 2

Schematic diagram of pig body size measurement method based on LiDAR and point cloud segmentation model"

Fig. 3

A self-tightening wearable thermometer for chickens"

Fig. 4

Backpack-style wearable sensor"

Fig. 5

RFID-based wearable leg bands and smart nest boxes"

Fig. 6

Schematic diagram of cow tail tracking and trajectory analysis"

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